MARKETING
Brand-safety review gate for generated hero banners
When new banners land in a Dropbox staging folder, it checks each render against brand and locale rules.
How it runs
The automated pipeline, trigger to output.
- TriggerNew banner in Dropbox staging folderDropbox
- ActionCheck render against brand and locale rulesOpenAI
- LogicBranch on pass versus flagged
- ActionMove clean banners to approved folderDropbox
- OutputRoute flagged renders to reviewerSlack
What it does
Acts as the quality gate between generation and launch. As banners arrive in the Dropbox staging folder, it inspects each render for brand-safety and locale issues (banned imagery, untranslated copy, wrong logo lockup), promotes the clean ones, and sends only the problem renders to a human with a clear reason.
When to use it
Use it once your factory is producing volume and manual review of every banner has become the bottleneck, but you still need a human on anything that fails a rule.
How it works
- 1A new file in the Dropbox staging folder triggers the run.
- 2The flow fetches the banner and its campaign metadata.
- 3An OpenAI vision check evaluates the render against the brand and locale rule set.
- 4A logic branch splits on the result: pass versus flagged.
- 5Clean banners are moved to the approved Dropbox folder automatically.
- 6Flagged banners post to Slack with the specific failure reason for a reviewer to resolve.
Set it up
What you configure once, before turning it on.
- 1Connect DropboxFiles and folders.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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